DocumentCode :
1843107
Title :
The Review of Web Mining in E-Commerce
Author :
Yanduo Zhao
Author_Institution :
Int. Sch., Beijing Univ. of Posts & Telecommun., Beijing, China
fYear :
2013
fDate :
21-23 June 2013
Firstpage :
571
Lastpage :
574
Abstract :
Web data mining is a key tool for e-commerce in such an age of Internet. Due to previous studies, there is no such a mining technology superior to others. Therefore, this paper can give a simplified comprehension of web data mining and indicate the improvement direction of each kind of mining algorithm based on their existing defects. This paper first introduces the main process of data mining, including collect data, preprocess data, store the data, apply data mining technologies and evaluate the result. Then this paper tries to analyze different kinds of data mining technologies and how they are used in e-commerce. Finally, we predict the development trend of web data mining in e-commerce domain.
Keywords :
Internet; data mining; electronic commerce; Internet; Web data mining; data collection; data preprocessing; data storage; e-commerce; Algorithm design and analysis; Association rules; Classification algorithms; Data models; Databases; Partitioning algorithms; association rule; development trend; e-commerce oriented; review; visualization; web data mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational and Information Sciences (ICCIS), 2013 Fifth International Conference on
Conference_Location :
Shiyang
Type :
conf
DOI :
10.1109/ICCIS.2013.158
Filename :
6643072
Link To Document :
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